LCN2 Seminar: Trajectories through unobserved temporal networks
- vrijdag 30 oktober 2020
- Kaltura Live Room
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40th LCN2 seminar
Speaker: Carolina Mattsson
Title: Trajectories through unobserved temporal networks
What do football passes and financial transactions have in common? Both are records of a networked walk process where data takes the form of timestamped (possibly weighted) events that move something tangible from one node to another. Here we propose making sense of such data by extracting from it the trajectories taken by the tangible items involved. The main advantage of analyzing the resulting trajectories compared to using, e.g., existing temporal network analysis techniques, is that sequential, temporal, and domain-specific aspects of the process are respected and retained. This gives the resulting analyses contextual relevance. Using data on match events in football we replicate classic results from sports science using data on the 2018 FIFA World Cup and identify a group of teams that consistently used complex, multi-player tactics in passing play during the 2017/2018 club season; coincidentally including all the winners of five first-tier domestic leagues. Using transaction data from a mobile money system in East Africa we we find that most e-money is used for single, stand-alone tasks and that each task creates a different network-structural pattern of e-money flow: hubs, randomness, and geographic clustering. Network analysis also uncovers coordinated gaming of the provider's commission system, which shows up as small near-cliques. Considering football passes and financial transactions as steps in networked walk processes greatly improves our empirical understanding of their structure and dynamics.
About the LCN2 seminar
This talk is part of a series of seminars organized within an ongoing scientific initiative called the "Leiden Complex Networks Network" (LCN2), which brings together scientists with a common interest in both theoretical models and empirical analyses of complex networks and random graphs. The LCN2 community shares the approach of using networks for describing real-world complex systems and aims at developing related analytical and numerical methods, while also being open to other research approaches for studying complex systems. The talks are designed for a broad audience, allowing for constructive exchanges of ideas between scientists from different disciplines. During and after the talk, some drinks and simple snacks are provided.